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Freelance role training and evaluating advanced AI models on data science topics, requiring deep expertise in ML, NLP, and statistical modeling to improve model reasoning and accuracy.
Lead a machine-learning team building Sponsored Offers scoring models (pCTR/pCVR) for a top Polish e-commerce marketplace, using Python, PyTorch/TensorFlow, and GCP.
Build and deploy ML models to detect and prevent fraud in global payments, using Python, SQL, and frameworks like TensorFlow/PyTorch.
Leads a team to build, deploy, and monitor ML models that predict customer behavior and credit risk for a telecom company, translating business needs into data-driven solutions.
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Principal Data & AI Platform Architect designs and builds Azure Databricks-based data pipelines, medallion architectures, and governed analytics solutions to power AI-driven insights for a multi-clinic healthcare provider.
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Builds and deploys ML models and big-data pipelines to extract insights from customer and transaction data, enabling smarter decisions and improved experiences for a major bank.
Lead the design and delivery of responsible agentic AI systems for a digital bank, embedding fairness, safety, and regulatory compliance into production LLM-powered applications and platforms.
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Lead Benevity’s AI/ML strategy, designing scalable GenAI systems, LLM-powered features, and MLOps pipelines to deliver measurable business value from model training to production monitoring.
Lead the design, development, and deployment of AI/ML models and generative solutions to solve complex business problems, guiding cross-functional teams through the full data science lifecycle.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Lead delivery of advanced analytics and ML solutions for an insurance transformation program, designing models for claims, underwriting, and marketing while coordinating with offshore teams.
Leads architecture and delivery of enterprise-scale GenAI and agentic AI systems on GCP for travel retailing, including RAG, agent workflows, and LLMOps pipelines.
Lead end-to-end ML initiatives, from problem framing to production deployment, building scalable forecasting and optimization models in a hybrid Sydney role.
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